Correlation Between Dow Jones and ACCO BRANDS
Can any of the company-specific risk be diversified away by investing in both Dow Jones and ACCO BRANDS at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Dow Jones and ACCO BRANDS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and ACCO BRANDS, you can compare the effects of market volatilities on Dow Jones and ACCO BRANDS and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Dow Jones with a short position of ACCO BRANDS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and ACCO BRANDS.
Diversification Opportunities for Dow Jones and ACCO BRANDS
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dow and ACCO is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and ACCO BRANDS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ACCO BRANDS and Dow Jones is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Dow Jones Industrial are associated (or correlated) with ACCO BRANDS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ACCO BRANDS has no effect on the direction of Dow Jones i.e., Dow Jones and ACCO BRANDS go up and down completely randomly.
Pair Corralation between Dow Jones and ACCO BRANDS
Assuming the 90 days trading horizon Dow Jones is expected to generate 2.88 times less return on investment than ACCO BRANDS. But when comparing it to its historical volatility, Dow Jones Industrial is 2.95 times less risky than ACCO BRANDS. It trades about 0.11 of its potential returns per unit of risk. ACCO BRANDS is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 440.00 in ACCO BRANDS on October 25, 2024 and sell it today you would earn a total of 70.00 from holding ACCO BRANDS or generate 15.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.36% |
Values | Daily Returns |
Dow Jones Industrial vs. ACCO BRANDS
Performance |
Timeline |
Dow Jones and ACCO BRANDS Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
ACCO BRANDS
Pair trading matchups for ACCO BRANDS
Pair Trading with Dow Jones and ACCO BRANDS
The main advantage of trading using opposite Dow Jones and ACCO BRANDS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, ACCO BRANDS can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in ACCO BRANDS will offset losses from the drop in ACCO BRANDS's long position.Dow Jones vs. Xiabuxiabu Catering Management | Dow Jones vs. Neogen | Dow Jones vs. Orion Office Reit | Dow Jones vs. Bassett Furniture Industries |
ACCO BRANDS vs. USWE SPORTS AB | ACCO BRANDS vs. Costco Wholesale Corp | ACCO BRANDS vs. Aristocrat Leisure Limited | ACCO BRANDS vs. SPARTAN STORES |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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